AN APPLICATION OF THE CONTINUOUS WAVELET TRANSFORM TO RESOLUTION OF MULTICOMPONENT OVERLAPPING ANALYTICAL SIGNALS

Abstract

The continuous wavelet transform (CWT) is applied successfully to the resolution of overlapping chromatograms. CWT tends to reinforce the traits of a signal and makes all information more visible due to its redundancy. This is especially true of very subtle information. It is proven by the results that the method is superior to the discrete wavelet transform (DWT) and wavelet packet transform (WPT). CWT has much stronger ability to extract subtle information from seriously overlapping chromatograms, and can process more conveniently than WPT. Furthermore, the linearity of chromatographic signal remains in the resolved results, which ensure the results can be used for quantitative determination. The resolving ability of different wavelet basis and for signal with different noise levels are also discussed.

Keywords:

• Continuous wavelet transform
• Wavelet transform
• Resolution of overlapping signals

ACKNOWLEDGMENT

This study was supported by the Natural Science Foundation of China.